Insurance
We help brokers, MGAs and insurers modernise systems, unlock more value from their data and automate key processes to enhance operations, customer experience and competitiveness.
Custom-built systems for the insurance sector
NashTech has a proven track record of delivering custom-built software for the insurance industry.. We help clients embrace new opportunities and solve tough challenges by:
- Accelerating digital transformation with cloud and microservices architecture.
- Improving customer journeys through legacy modernisation and migration.
- Driving efficiency and customer experience excellence across front and back office using the power of artificial intelligence (AI) and machine learning (ML).
We specialise in in designing and operating custom-built digital platforms and core insurance system enhancements across personal lines, commercial and specialty insurance. Our secure, scalable solutions help insurers like you accelerate digital transformation, overcome legacy complexity and increase operational efficiency.
Key challenges in the insurance sector
Many Q&B journeys aren’t built for modern customer behaviour, especially on mobile. Solutions include shortening flows, removing unnecessary steps and using behavioural data to reduce drop-off.
Speed to market is critical, but lengthy testing and release cycles cost competitive edge. Modular architectures can allow product and pricing changes without constant development support.
Generic emails and static pricing are ineffective. Using behavioural data to identify churn risks and targeting them with dynamic communications and pricing strategies is proving more successful.
Marketing and acquisition costs are rising, but without accurate insights, it’s hard to know what is effective. Linking cost-per-quote data to customer lifetime value helps prioritise profitable segments.
Client outcomes
The business outcomes we have achieved together speak for themselves
Case study: Quote and buy platform transformation
increase in online quote-to-sale ratio drives profitability.
reduction in testing time improves time to market for new features
What NashTech delivers is of high value and high quality. The speed, efficiency, and innovation from their teams have surpassed anything we’ve seen before, even compared to UK-based teams.
Markerstudy Distribution is a division of Markerstudy Group and operates as a UK broker providing a portfolio of insurance products from within its own and partner brands. Multiple acquisitions meant that MSD had over 50 data sources and its internal teams couldn’t keep pace with the demand for insights, business intelligence and operational visibility.
NashTech built a lakehouse architecture that eliminated redundant data layers and significantly reduced complexity, enabling MSD to manage larger data volumes, accelerate reporting and deploy AI-driven insights and automation.
Case study: Driving speed and agility with microservices based architecture
to allow Ripe to tap into new marketplace opportunities faster.
with additional capacity from world-class tech experts.
Accelerated migration of legacy data to their new ‘Juice’ platform, adding AI, ML, and data science capabilities. Reduced pressure on Ripe’s core team, allowing them to focus on new product development.
Case study: ISV partnership transforming InsurTech
with fully componentised policy administration and core insurance systems
through powerful APls, connected hubs and platforms
Competitive advantage is one thing that our customers look for in the solutions that we provide to them, and they need that to win in our market. We’ve found that by working and collaborating with the NashTech teams, we’ve been able to stay competitive throughout our five-year partnership.
NashTech helped CDL scale effectively for global expansion, leading to them topping the UK InsurTech 50 and being included in the elite InsurTech 100 list.
Case study: AI-driven innovation
through single-click deployments
using Snowflake and Power BI
giving insurers access to ready-to-use models
Modernised platform architecture, enhanced onboarding, and laid foundations for AI-driven innovation.
Creating value
Improving customer outcomes
Rebuilding claims, quote and service journeys for speed, simplicity and control.
Freeing up capacity
Redesigning core processes, integrating disconnected systems and automating manual tasks.
Enabling smarter decisions
Using AI-enhanced data analytics to surface real-time insights, not just reports.
Reducing cost-to-serve
Through offshore business process management (BPM) teams that run and improve back-office functions (onboarding, underwriting and compliance) faster, better and more cost efficiently.
Improving customer outcomes
Rebuilding claims, quote and service journeys for speed, simplicity and control.
Enabling smarter decisions
Using AI-enhanced data analytics to surface real-time insights, not just reports.
Freeing up capacity
Redesigning core processes, integrating disconnected systems and automating manual tasks.
Reducing cost-to-serve
Through offshore business process management (BPM) teams that run and improve back-office functions (onboarding, underwriting and compliance) faster, better and more cost efficiently.
Our solutions
While modernisation has been a strategic priority, the advent of Generative AI highlights the struggle many organisations face in getting foundational elements right. Our solutions include:
Application modernisation for agility and resilience
We use an AI-first approach with cloud computing, microservices, containerisation and real-time analytics to break up tightly coupled systems, improve developer velocity and enable faster market response
Cloud modernisation for scalability and speed
Transition existing digital systems to more agile, cloud-native or hybrid models. This enables elastic workloads, quick integration of third-party services and cuts infrastructure drag.
Data modernisation for trust and intelligence
Poor quality, fragmented and untrustworthy data hinders automation and AI initiatives. Our data management, Business Intelligence (BI) and predictive analytics solutions turn raw information into actionable insights.
Application modernisation for agility and resilience
We use an AI-first approach with cloud computing, microservices, containerisation and real-time analytics to break up tightly coupled systems, improve developer velocity and enable faster market response.
Cloud modernisation for scalability and speed
Transition existing digital systems to more agile, cloud-native or hybrid models. This enables elastic workloads, quick integration of third-party services and cuts infrastructure drag.
Data modernisation for trust and intelligence
Poor quality, fragmented and untrustworthy data hinders automation and AI initiatives. Our data management, Business Intelligence (BI) and predictive analytics solutions turn raw information into actionable insights.
